pycodesage 0.3.0

Local-first CLI code intelligence tool with LangChain-powered RAG

CodeSage

Local-first code intelligence CLI powered by Ollama. Search, analyze, and chat with your codebase using natural language.

Works with Claude Desktop, Cursor, and Windsurf via MCP.

Install

# Recommended: pipx (isolated environment)
pipx install pycodesage

# Or pip
pip install pycodesage

Detailed installation

# macOS
brew install pipx
pipx ensurepath

# Linux/Windows
python3 -m pip install --user pipx
python3 -m pipx ensurepath

# Install with specific Python version
pipx install --python python3.11 pycodesage

# Add optional features
pipx inject pycodesage "pycodesage[multi-language]"  # JS, TS, Go, Rust
pipx inject pycodesage "pycodesage[mcp]"             # MCP server

Requirements

Ollama must be running:

ollama pull qwen2.5-coder:7b
ollama pull qwen3-embedding
ollama serve

Usage

cd your-project
codesage init      # Initialize project
codesage index     # Build code index
codesage chat      # Interactive chat mode

Commands

Command	Description
init	Initialize project (detects languages, creates config)
index	Build or update the code index
chat	Interactive chat with code intelligence
mcp serve	Start MCP server for AI IDE integration
mcp setup	Show MCP configuration for your IDE
mcp test	Test MCP server functionality

Chat Commands

Inside codesage chat, use these slash commands:

Search & Analysis

Command	Description
/search <query>	Semantic code search
/deep <query>	Deep multi-agent analysis
/similar <element>	Find similar code
/patterns [query]	Show learned patterns

Planning & Review

Command	Description
/plan <task>	Generate implementation plan
/review [file]	Review code changes
/security [path]	Security analysis
/impact <element>	Impact/blast radius analysis

Session

Command	Description
/mode <mode>	Switch mode (brainstorm / implement / review)
/context	Show/modify context settings
/stats	Show index statistics
/export [file]	Export conversation
/clear	Clear chat history
/help	Show all commands
/exit or Ctrl+D	Exit chat

MCP Setup

CodeSage works as an MCP server for AI IDEs. Run codesage mcp setup to get the configuration, or add this to your MCP client config:

{
  "mcpServers": {
    "codesage": {
      "command": "codesage",
      "args": ["mcp", "serve", "--global"]
    }
  }
}

MCP tools available

Tool	Description
list_projects	List all indexed projects (global mode)
get_developer_profile	Your coding patterns and conventions
search_code	Semantic code search with confidence scoring
get_file_context	File content with definitions and security analysis
review_code	Code review with static + LLM analysis
analyze_security	Security vulnerability scanning
get_stats	Index statistics and storage metrics
explain_concept	Understand how a concept is implemented
suggest_approach	Implementation guidance for a coding task
trace_flow	Trace callers/callees through the dependency graph
find_examples	Find usage examples of a pattern or function
recommend_pattern	Pattern recommendations from learned memory

Client-specific setup

Claude Desktop: Add config above to claude_desktop_config.json

Cursor: Settings → Features → MCP Servers → Add config

Windsurf: Settings → MCP → Add Server. Command: codesage, Args: mcp serve --global

Configuration

Stored in .codesage/config.yaml (created by codesage init):

project_name: my-project
languages:
  - python
  - typescript

llm:
  provider: ollama
  model: qwen2.5-coder:7b
  embedding_model: qwen3-embedding

exclude_dirs:
  - node_modules
  - venv
  - .git

All configuration options

# LLM settings
llm:
  provider: ollama          # ollama, openai, anthropic
  model: qwen2.5-coder:7b
  embedding_model: qwen3-embedding
  base_url: http://localhost:11434
  temperature: 0.3

# Storage
storage:
  vector_backend: lancedb
  use_graph: true

# Security scanning
security:
  enabled: true
  severity_threshold: medium

# Developer memory
memory:
  enabled: true
  learn_on_index: true

# Performance tuning
performance:
  embedding_batch_size: 200
  embedding_cache_size: 1000
  cache_enabled: true

Language Support

• Python (built-in)
• JavaScript, TypeScript, Go, Rust (with pycodesage[multi-language])

Development

git clone https://github.com/keshavashiya/codesage.git
cd codesage
pip install -e ".[dev]"
pytest tests/ -v

License

MIT